forked from DataDog/dogapi
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathREADME
More file actions
69 lines (53 loc) · 1.77 KB
/
README
File metadata and controls
69 lines (53 loc) · 1.77 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
DogApi
======
A Python client for the DataDog API.
- Library Documentation: http://pydoc.datadoghq.com
- HTTP API Documetation: http://api.datadoghq.com/
- DataDogHQ: http://datadoghq.com
Change Log
----------
- 1.1.1
- Release date: 2012.11.27
- Better handling of API errors
- 1.1.0
- Release date: 2012.11.06
- Support for the metric alert API.
- 1.0.14
- Release date: 2012.10.16
- Ensure the `timed` decorator preserves function attributes.
- 1.0.13
- Release date: 2012.09.21
- Added missing `dashboards` endpoint, which fetches all of an org's dashes
- 1.0.11
- Release date: 2012.08.13
- Fixes Fabric support when mixing old- and new-style tasks.
- 1.0.10
- Release date: 2012.08.03
- Extra command-line arguments: --api-key and --application-key
- 1.0.9
- Release date: 2012.06.22
- Fabric support
- 1.0.7, 1.0.8
- never published
- 1.0.6
- Release date: 2012.06.05
- Bug fix in dogshell on python 3
- 1.0.5
- Release date: 2012.05.29
- Compatible with python 3.2
- 1.0.4
- Release date: 2012.04.16
- A rash of performance improvements to DogStatsApi's stats collection
methods.
- DogStatsApi's metrics collection and flushing can now be disabled with
a configuration change.
- Removed locking from DogStatsApi's metrics collection, trading some
accuracy when many threads are writing to the same instance in exchange
for performance.
- 1.0.0
- Release date: 2012.03.21
- This release is a backwards incompatible rewrite of the library.
- The API wrapper was renamed from SimpleClient to DogHttpApi. It's
interface was also updated. Check the docs for changes.
- Added DogStatsApi, a tool for collecting metrics with little application
overhead.